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Record W4407383383 · doi:10.1002/9781119988229.ch9

The Environmental History of the Arctic and Subarctic

2025· other· en· W4407383383 on OpenAlexaboutno aff
Liza Piper

Bibliographic record

Venuenot available
Typeother
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubarctic climateArcticThe arcticGeographyPhysical geographyEnvironmental scienceOceanographyGeologyArchaeology

Abstract

fetched live from OpenAlex

This chapter examines the environmental history of arctic and subarctic regions, here referred to collectively as the Circumpolar North, and including Iceland, northern Scandinavia, Siberia, Alaska, northern Canada, and Greenland. In the early twentieth century, reindeer domestication, importation, and collectivization became tools deployed by governments across the Circumpolar North to advance state-building and modernization project. The Klondike gold rush epitomizes the character of interest in, and the transformative capacity of, mineral exploitation in arctic and subarctic regions. In the nineteenth and the twentieth century, northern natures became tied to emergent national discourses in Europe and North America. Northern nationalisms persist into the present, with continued debates over sovereignty in the context of a melting Arctic figuring prominently among the concerns of northern nations. Nevertheless, over the course of the twentieth century, northern national identities became less stable, while international and transnational perspectives grew in significance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.876
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.286
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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